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Analysing Mathematical Reasoning Abilities of Neural Models

Analysing Mathematical Reasoning Abilities of Neural Models

2 April 2019
D. Saxton
Edward Grefenstette
Felix Hill
Pushmeet Kohli
    LRM
ArXiv (abs)PDFHTML

Papers citing "Analysing Mathematical Reasoning Abilities of Neural Models"

50 / 286 papers shown
Title
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and
  Opportunities for Solving Math Word Problems
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems
Keyur Faldu
A. Sheth
Prashant Kikani
Manas Gaur
Aditi Avasthi
LRM
62
17
0
29 Oct 2021
Generating Symbolic Reasoning Problems with Transformer GANs
Generating Symbolic Reasoning Problems with Transformer GANs
Jens U. Kreber
Christopher Hahn
AI4CE
115
6
0
19 Oct 2021
Pretrained Language Models are Symbolic Mathematics Solvers too!
Pretrained Language Models are Symbolic Mathematics Solvers too!
Kimia Noorbakhsh
Modar Sulaiman
M. Sharifi
Kallol Roy
Pooyan Jamshidi
LRM
91
21
0
07 Oct 2021
How BPE Affects Memorization in Transformers
How BPE Affects Memorization in Transformers
Eugene Kharitonov
Marco Baroni
Dieuwke Hupkes
247
33
0
06 Oct 2021
SCIMAT: Science and Mathematics Dataset
SCIMAT: Science and Mathematics Dataset
Neeraj Kollepara
Snehith Kumar Chatakonda
Kiran Ravish
23
1
0
30 Sep 2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in
  Symbolic Mathematics
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics
Sean Welleck
Peter West
Jize Cao
Yejin Choi
146
31
0
28 Sep 2021
Adversarial Examples for Evaluating Math Word Problem Solvers
Adversarial Examples for Evaluating Math Word Problem Solvers
Vivek Kumar
Rishabh Maheshwary
Vikram Pudi
AAML
60
34
0
13 Sep 2021
Teaching Autoregressive Language Models Complex Tasks By Demonstration
Teaching Autoregressive Language Models Complex Tasks By Demonstration
Gabriel Recchia
83
22
0
05 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALMUQCV
332
3,806
0
03 Sep 2021
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
Kunhao Zheng
Jesse Michael Han
Stanislas Polu
AIMat
141
178
0
31 Aug 2021
The Devil is in the Detail: Simple Tricks Improve Systematic
  Generalization of Transformers
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
ViT
129
134
0
26 Aug 2021
Learning C to x86 Translation: An Experiment in Neural Compilation
Learning C to x86 Translation: An Experiment in Neural Compilation
Jordi Armengol-Estapé
Michael F. P. O'Boyle
60
13
0
17 Aug 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of
  neural network generalization
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization
Chiyuan Zhang
M. Raghu
Jon M. Kleinberg
Samy Bengio
OOD
111
32
0
27 Jul 2021
A Reinforcement Learning Environment for Mathematical Reasoning via
  Program Synthesis
A Reinforcement Learning Environment for Mathematical Reasoning via Program Synthesis
Joseph Palermo
Johnny Ye
Alok Singh
AIMat
97
2
0
15 Jul 2021
A Classification of Artificial Intelligence Systems for Mathematics
  Education
A Classification of Artificial Intelligence Systems for Mathematics Education
S. Van Vaerenbergh
Adrián Pérez-Suay
27
13
0
13 Jul 2021
Systematic human learning and generalization from a brief tutorial with
  explanatory feedback
Systematic human learning and generalization from a brief tutorial with explanatory feedback
A. Nam
James L. McClelland
38
1
0
10 Jul 2021
Latent Execution for Neural Program Synthesis
Latent Execution for Neural Program Synthesis
Xinyun Chen
Basel Alomair
Yuandong Tian
NAI
118
53
0
29 Jun 2021
Neural Symbolic Regression that Scales
Neural Symbolic Regression that Scales
Luca Biggio
Tommaso Bendinelli
Alexander Neitz
Aurelien Lucchi
Giambattista Parascandolo
107
180
0
11 Jun 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie
Imanol Schlag
Róbert Csordás
Jürgen Schmidhuber
118
64
0
11 Jun 2021
Measuring and Improving BERT's Mathematical Abilities by Predicting the
  Order of Reasoning
Measuring and Improving BERT's Mathematical Abilities by Predicting the Order of Reasoning
Piotr Pikekos
Henryk Michalewski
Mateusz Malinowski
76
28
0
07 Jun 2021
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine Translation
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
233
46
0
31 May 2021
Measuring global properties of neural generative model outputs via
  generating mathematical objects
Measuring global properties of neural generative model outputs via generating mathematical objects
Bernt Ivar Utstøl Nødland
23
0
0
28 May 2021
Compositional Processing Emerges in Neural Networks Solving Math
  Problems
Compositional Processing Emerges in Neural Networks Solving Math Problems
Jacob Russin
Roland Fernandez
Hamid Palangi
Eric Rosen
Nebojsa Jojic
P. Smolensky
Jianfeng Gao
48
14
0
19 May 2021
Which transformer architecture fits my data? A vocabulary bottleneck in
  self-attention
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
Noam Wies
Yoav Levine
Daniel Jannai
Amnon Shashua
92
20
0
09 May 2021
Math Operation Embeddings for Open-ended Solution Analysis and Feedback
Math Operation Embeddings for Open-ended Solution Analysis and Feedback
Mengxue Zhang
Zichao Wang
Richard Baraniuk
Andrew Lan
65
10
0
25 Apr 2021
AR-LSAT: Investigating Analytical Reasoning of Text
AR-LSAT: Investigating Analytical Reasoning of Text
Wanjun Zhong
Siyuan Wang
Duyu Tang
Zenan Xu
Daya Guo
Jiahai Wang
Jian Yin
Ming Zhou
Nan Duan
ELM
137
44
0
14 Apr 2021
Distilling Wikipedia mathematical knowledge into neural network models
Distilling Wikipedia mathematical knowledge into neural network models
J. Kim
Mikel Landajuela
Brenden K. Petersen
69
9
0
13 Apr 2021
Recognizing and Verifying Mathematical Equations using Multiplicative
  Differential Neural Units
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
A. Mali
Alexander Ororbia
Daniel Kifer
C. Lee Giles
32
16
0
07 Apr 2021
Proof of the Theory-to-Practice Gap in Deep Learning via Sampling
  Complexity bounds for Neural Network Approximation Spaces
Proof of the Theory-to-Practice Gap in Deep Learning via Sampling Complexity bounds for Neural Network Approximation Spaces
Philipp Grohs
F. Voigtlaender
88
38
0
06 Apr 2021
Toward Building Science Discovery Machines
Toward Building Science Discovery Machines
A. Khalili
A. Bouchachia
AI4CE
25
1
0
24 Mar 2021
Representing Numbers in NLP: a Survey and a Vision
Representing Numbers in NLP: a Survey and a Vision
Avijit Thawani
Jay Pujara
Pedro A. Szekely
Filip Ilievski
94
119
0
24 Mar 2021
NaturalProofs: Mathematical Theorem Proving in Natural Language
NaturalProofs: Mathematical Theorem Proving in Natural Language
Sean Welleck
Jiacheng Liu
Ronan Le Bras
Hannaneh Hajishirzi
Yejin Choi
Kyunghyun Cho
AIMat
91
69
0
24 Mar 2021
Symbolic integration by integrating learning models with different
  strengths and weaknesses
Symbolic integration by integrating learning models with different strengths and weaknesses
Hazumi Kubota
Y. Tokuoka
Takahiro G. Yamada
Akira Funahashi
AIMat
56
4
0
09 Mar 2021
Size-Invariant Graph Representations for Graph Classification
  Extrapolations
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua
Yangze Zhou
Bruno Ribeiro
OOD
138
110
0
08 Mar 2021
Selective Replay Enhances Learning in Online Continual Analogical
  Reasoning
Selective Replay Enhances Learning in Online Continual Analogical Reasoning
Tyler L. Hayes
Christopher Kanan
CLL
85
20
0
06 Mar 2021
Measuring Mathematical Problem Solving With the MATH Dataset
Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks
Collin Burns
Saurav Kadavath
Akul Arora
Steven Basart
Eric Tang
Basel Alomair
Jacob Steinhardt
ReLMFaML
233
2,414
0
05 Mar 2021
A Minimalist Dataset for Systematic Generalization of Perception,
  Syntax, and Semantics
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
Qing Li
Siyuan Huang
Yining Hong
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
AIMat
66
6
0
02 Mar 2021
KANDINSKYPatterns -- An experimental exploration environment for Pattern
  Analysis and Machine Intelligence
KANDINSKYPatterns -- An experimental exploration environment for Pattern Analysis and Machine Intelligence
Andreas Holzinger
Anna Saranti
Heimo Mueller
114
10
0
28 Feb 2021
Investigating the Limitations of Transformers with Simple Arithmetic
  Tasks
Investigating the Limitations of Transformers with Simple Arithmetic Tasks
Rodrigo Nogueira
Zhiying Jiang
Jimmy J. Li
LRM
122
130
0
25 Feb 2021
Symbolic Behaviour in Artificial Intelligence
Symbolic Behaviour in Artificial Intelligence
Adam Santoro
Andrew Kyle Lampinen
Kory W. Mathewson
Timothy Lillicrap
David Raposo
79
34
0
05 Feb 2021
Disambiguating Symbolic Expressions in Informal Documents
Disambiguating Symbolic Expressions in Informal Documents
Dennis Müller
C. Kaliszyk
25
1
0
25 Jan 2021
A Primer for Neural Arithmetic Logic Modules
A Primer for Neural Arithmetic Logic Modules
Bhumika Mistry
K. Farrahi
Jonathon S. Hare
43
8
0
23 Jan 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu
M. Rabe
Wenda Li
Jimmy Ba
Roger C. Grosse
Christian Szegedy
AIMatLRM
142
57
0
15 Jan 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules
Neural Sequence-to-grid Module for Learning Symbolic Rules
Segwang Kim
Hyoungwook Nam
Joonyoung Kim
Kyomin Jung
NAI
125
11
0
13 Jan 2021
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External Memory
Taylor Webb
I. Sinha
Jonathan Cohen
115
65
0
29 Dec 2020
Can Transformers Reason About Effects of Actions?
Can Transformers Reason About Effects of Actions?
Pratyay Banerjee
Chitta Baral
Man Luo
Arindam Mitra
Kuntal Kumar Pal
Tran Cao Son
Neeraj Varshney
LRMAI4CE
79
10
0
17 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space
  Poisoning
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning
Ujjwal Upadhyay
Prerana Mukherjee
78
7
0
09 Dec 2020
Towards Coinductive Models for Natural Language Understanding. Bringing
  together Deep Learning and Deep Semantics
Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics
Wlodek Zadrozny
AI4CE
42
1
0
09 Dec 2020
Revisiting Iterative Back-Translation from the Perspective of
  Compositional Generalization
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo Guo
Hualei Zhu
Zeqi Lin
Bei Chen
Jian-Guang Lou
Dongmei Zhang
BDL
239
27
0
08 Dec 2020
EXAMS: A Multi-Subject High School Examinations Dataset for
  Cross-Lingual and Multilingual Question Answering
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering
Momchil Hardalov
Todor Mihaylov
Dimitrina Zlatkova
Yoan Dinkov
Ivan Koychev
Preslav Nakov
AI4EdELM
237
54
0
05 Nov 2020
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